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      Applying trait-based models to achieve functional targets for theory-driven ecological restoration

      Laughlin, Daniel C.
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      Laughlin_FINAL_ELE-00104-2014.R1.pdf
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      DOI
       10.1111/ele.12288
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      Laughlin, D. C. (2014). Applying trait-based models to achieve functional targets for theory-driven ecological restoration. Ecology Letters, 17, 771–784. http://doi.org/10.1111/ele.12288
      Permanent Research Commons link: https://hdl.handle.net/10289/9330
      Abstract
      Manipulating community assemblages to achieve functional targets is a key component of restoring degraded ecosystems. The response-and-effect trait framework provides a conceptual foundation for translating restoration goals into functional trait targets, but a quantitative framework has been lacking for translating trait targets into assemblages of species that practitioners can actually manipulate. This study describes new trait-based models that can be used to generate ranges of species abundances to test theories about which traits, which trait values and which species assemblages are most effective for achieving functional outcomes. These models are generalisable, flexible tools that can be widely applied across many terrestrial ecosystems. Examples illustrate how the framework generates assemblages of indigenous species to (1) achieve desired community responses by applying the theories of environmental filtering, limiting similarity and competitive hierarchies, or (2) achieve desired effects on ecosystem functions by applying the theories of mass ratios and niche complementarity. Experimental applications of this framework will advance our understanding of how to set functional trait targets to achieve the desired restoration goals. A trait-based framework provides restoration ecology with a robust scaffold on which to apply fundamental ecological theory to maintain resilient and functioning ecosystems in a rapidly changing world.
      Date
      2014
      Type
      Journal Article
      Publisher
      Wiley-Blackwell
      Rights
      © 2014 John Wiley & Sons Ltd/CNRS. This is the peer reviewed version of the an article published in the journal Ecology Letters, which has been published in final form at 10.1111/ele.12288. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
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